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DBMS > atoti vs. Cloudflare Workers KV

System Properties Comparison atoti vs. Cloudflare Workers KV

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Our visitors often compare atoti and Cloudflare Workers KV with DuckDB, Snowflake and Neo4j.

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.
Primary database modelObject oriented DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#244  Overall
#11  Object oriented DBMS
Score0.32
Rank#277  Overall
#41  Key-value stores
Websiteatoti.iowww.cloudflare.com/­developer-platform/­workers-kv
Technical documentationdocs.atoti.iodevelopers.cloudflare.com/­kv/­api
DeveloperActiveViamCloudflare
Initial release2018
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshosted
Data schemeschema-free
Typing infopredefined data types such as float or dateno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)no
APIs and other access methodsHTTP REST
Proprietary protocol
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Server-side scripts infoStored proceduresPythonno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno

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More resources
atotiCloudflare Workers KV
Recent citations in the news

Best use of cloud: ActiveViam
28 November 2023, Risk.net

ActiveViam Announces Leadership Succession
4 September 2024, Business Wire

provided by Google News

We made Workers KV up to 3x faster — here’s the data
26 September 2024, The Cloudflare Blog

Making Workers AI faster and more efficient: Performance optimization with KV cache compression and speculative decoding
26 September 2024, The Cloudflare Blog

Moving Baselime from AWS to Cloudflare: simpler architecture, improved performance, over 80% lower cloud costs
31 October 2024, The Cloudflare Blog

Durable Objects aren't just durable, they're fast: a 10x speedup for Cloudflare Queues
24 October 2024, The Cloudflare Blog

Hardening Workers KV
2 August 2023, The Cloudflare Blog

provided by Google News



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